相关数据集
Table_5_Immunity and Extracellular Matrix Characteristics of Breast Cancer Subtypes Based on Identification by T Helper Cells Profiling.xls
BackgroundThe therapeutic effect of immune checkpoint inhibitors on tumors is not only related to CD8+ effector T cells but also sufficiently related to CD4+ helper T (TH) cells. The immune characteri
NIAID Data Ecosystem40
Prognostic significance of interferon-γ and its signaling pathway in early breast cancer depends on the molecular subtypes. Prognostic significance of interferon-γ and its signaling pathway in early breast cancer depends on the molecular subtypes
Interferons are crucial for adaptive immunity and play an important role in the immune landscape of breast cancer. Using microarray-based gene expression analysis, we examined the subtype specific pro
NIAID Data Ecosystem10
DataSheet_1_A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer.zip
Immune-related processes are important in underpinning the properties of clinical traits such as prognosis and drug response in cancer. The possibility to extract knowledge learned by artificial neura
NIAID Data Ecosystem30
APC from NOD mice are less efficient at maintaining Foxp3 expression in vitro .
CD4+CD25+ T cells from 12–15 week-old B6 or Sick NOD mice were cultured overnight in multiple wells, either alone or with B6 or Sick NOD irradiated T-cell depleted spleen cells (APC) and anti-CD3 anti
NIAID Data Ecosystem20
